Leveraging store activity for recommendations

Abstract

Systems and methods for providing product recommendations to a customer are described. One embodiment includes receiving a request for a product recommendation for a customer, and generating the product recommendation based on a purchase history for the customer. In some embodiments, the purchase history includes data associated with in-store purchases from one or more brick and mortar stores and data associated with online purchases from one or more online stores.

What is claimed is: 
     
         1 . A method, comprising:
 receiving a request for a product recommendation for a customer; and   generating the product recommendation based on a purchase history for the customer that comprises in-store purchases from one or more brick and mortar stores and online purchases from one or more online stores.   
     
     
         2 . The method of  claim 1 , further comprising:
 receiving in-store purchase information comprising data associated with in-store purchases for a brick and mortar store; and   updating the purchase history for the customer based on the received in-store purchase information.   
     
     
         3 . The method of  claim 1 , further comprising:
 receiving online purchase information comprising data associated with online purchases for an online store; and   updating the purchase history for the customer based on the received online purchase information.   
     
     
         4 . The method of  claim 1 , further comprising:
 receiving shopping intent information comprising data identifying one or more characteristics of a product for which the customer intends to purchase;   wherein said generating further comprises generating the product recommendation based further on the received shopping intent information for the customer.   
     
     
         5 . The method of  claim 1 , further comprising:
 receiving an indication that the customer has check-in to a particular brick and mortar store; and   providing the customer at the particular brick and mortar store with the product recommendation;   wherein said generating comprises generating the product recommendation based further on one or more aspects of the particular brick and mortar store.   
     
     
         6 . The method of  claim 1 , further comprising:
 receiving an indication that the customer has check-in to a particular brick and mortar store; and   providing a salesperson at the particular brick and mortar store with the product recommendation for the customer;   wherein said generating comprises generating the product recommendation based further on one or more aspects of the particular brick and mortar store.   
     
     
         7 . The method of  claim 1 , further comprising:
 receiving an indication that the customer has check-in to a particular brick and mortar store;   receiving shopping intent information comprising data identifying one or more characteristics of a product for which the customer intends to purchase; and   providing the customer at the particular brick and mortar store with the product recommendation;   wherein said generating comprises generating the product recommendation based further on the received shopping intent information for the customer, one or more aspects of the particular brick and mortar, and one or more aspects of another brick and mortar store within a vicinity of the particular brick and mortar store.   
     
     
         8 . The method of  claim 1 , further comprising:
 receiving an indication that the customer has check-in to a particular brick and mortar store; and   receiving shopping intent information comprising data identifying one or more characteristics of a product for which the customer intends to purchase; and   providing the customer at the particular brick and mortar store with the product recommendation;   wherein said generating comprises generating the product recommendation based further on the received shopping intent information for the customer, one or more aspects of the particular brick and mortar store, and one or more aspects of an online store.   
     
     
         9 . The method of  claim 1 , further comprising sending the product recommendation during an online shopping session of the customer. 
     
     
         10 . The method of  claim 1 , further comprising sending the product recommendation as a geographic map of other customers in a vicinity of the customer who have purchased a product recommended by the product recommendation. 
     
     
         11 . A product recommendation system, comprising:
 a database system configured to store purchase history for a plurality of customers; and   a computing system configured to receive a request for a product recommendation for a customer, and to generate the product recommendation based on a purchase history for the customer maintained by the database system, wherein the purchase history for the customer includes data for in-store purchases from one or more brick and mortar stores and data for online purchases from one or more online stores.   
     
     
         12 . The product recommendation system of  claim 11 , wherein the computing system is further configured to:
 receive in-store purchase information comprising data associated with in-store purchases for a brick and mortar store; and   request the database system to update the purchase history for the customer in response to the received in-store purchase information.   
     
     
         13 . The product recommendation system of  claim 11 , wherein the computing systems is further configured to:
 receive online purchase information that includes data associated with online purchases for an online store; and   request the database system to update the purchase history for the customer in response to the received online purchase information.   
     
     
         14 . The product recommendation system of  claim 11 , wherein the computing systems is further configured to:
 receive shopping intent information from a mobile computing device of a customer, wherein the shopping intent information includes data identifying one or more characteristics of a product for which the customer intends to purchase;   generate the product recommendation based on the received shopping intent information.   
     
     
         15 . The product recommendation system of  claim 11 , wherein the computing systems is further configured to:
 receive an indication from a mobile computing device that the customer is in a particular brick and mortar store;   generate the product recommendation based on one or more aspects of the particular brick and mortar store; and   send the generated product recommendation to the mobile computing device;   
     
     
         16 . The product recommendation system of  claim 11 , wherein the computing systems is further configured to:
 receive, from a computing device at a particular brick and mortar store, an indication that the customer has checked-in;   generate the product recommendation based further on one or more aspects of the particular brick and mortar store; and   provide a salesperson at the particular brick and mortar store with the product recommendation for the customer;   
     
     
         17 . The product recommendation system of  claim 11 , wherein the computing systems is further configured to:
 receive an indication that the customer checked-in to a particular brick and mortar store;   receive shopping intent information that includes data identifying one or more characteristics of a product for which the customer intends to purchase; and   generate the product recommendation based on the received shopping intent information for the customer, one or more aspects of the particular brick and mortar, and one or more aspects of another brick and mortar store within a vicinity of the particular brick and mortar store; and   send the product recommendation to a computing device at the particular brick and mortar store.   
     
     
         18 . The product recommendation system of  claim 11 , wherein the computing systems is further configured to:
 receive an indication that the customer checked-in to a particular brick and mortar store;   receive shopping intent information that includes data identifying one or more characteristics of a product for which the customer intends to purchase;   generate the product recommendation based on the received shopping intent information for the customer, one or more aspects of the particular brick and mortar store, and one or more aspects of an online store; and   send the product recommendation to a computer device at the particular brick and mortar store.   
     
     
         19 . The product recommendation system of  claim 11 , wherein the computing systems is further configured to send the product recommendation to a computing device during an online shopping session of the customer. 
     
     
         20 . The product recommendation system of  claim 11 , wherein the computing systems is further configured to send the product recommendation as a geographic map of other customers in a vicinity of the customer who have purchased a product recommended by the product recommendation.